About the role

AI summarised

The Quality Management System Engineer at Micron is responsible for maintaining and improving the company's QMS to ensure compliance with standards like ISO 9001 and IATF 16949, driving process clarity, and supporting quality initiatives. The role involves collaborating with stakeholders, tracking KPIs, resolving non-conformities, supporting audits, and leveraging AI and RPA tools to enhance efficiency. Candidates should have an engineering background, strong analytical and communication skills, and familiarity with quality methodologies and automation tools.

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Key Responsibilities

Own and improve respective Micron’s QMS processes and drive end to end process clarity, interactions, and documentation
Ensure and improve compliance (e.g., ISO 9001; IATF 16949 for automotive lines), coordinate with sites and auditors, and close findings to standard
Collaborate with Key Stakeholders to collect required inputs and ensure alignment
Ensure the QMS process changes are cascaded to the site team
Track and monitor key performance indicators related to the respective QMS processes
Resolve non-compliance in the Quality System
Assist in planning and supporting audits
Drive quality improvement initiatives and projects and participate in cross‑functional improvement activities
Utilize Artificial Intelligence (AI) tools and Robotic Process Automation (RPA) technologies to enhance effectiveness and drive efficiency improvements in the QMS processes

Requirements

Bachelor’s or Master’s degree in Mechanical, Materials, Electrical, Electronics Engineering, or a closely related discipline
Strong analytical, logical, and critical thinking skills
Effective communicator, able to collaborate across all levels
Growth mindset with a passion for continuous learning
Internship or experience in the semiconductor industry is a plus
Demonstrated leadership and a track record of impact are highly desirable
Interest in and knowledge of the semiconductor industry and Micron
Structured thinking and data-driven approaches to identify root causes and implement sustainable solutions
Attention to details to ensure accuracy and compliance in documentation, reporting, and execution of tasks
Familiar with AI tools such as Python, Power Automate, Power Apps, Power BI and Tableau